Cloud Manufacturing Tasks Decomposition Based on the Preliminary Screening of Resource Candidate Sets
摘要
In order to organically combine cloud manufacturing task decomposition with resource allocation, this paper proposes a method for evaluating the matching degree between subtasks and their corresponding resources. Based on the principles of high cohesion, low coupling, and balanced workload, a cloud manufacturing task decomposition model is established, and subtasks and their corresponding candidate resource sets are obtained through matching degree constraints and delivery time constraints.